Data shared over connected vehicle technologies (CVT) may provide a variety of performance benefits to transportation. CVT could improve safety as events unfold; however, although previous work has characterized some of the potential advantages of connectivity on human operated vehicles, the impacts of connectivity on automated driving systems (ADS) is not well established. The purpose of this proposed effort is to conduct a focused effort which leverages the SHRP2 Naturalistic Driving Study to estimate the potential impact of connectivity on safety for future on automated driving systems (ADS) in transportation. The research team will identify and reconstruct conflict events in the SHRP2 NDS. The team will then simulate the events with a simple model of an ADS both with and without CVT. Comparisons between the results of the simulations with and without CVT will shed light on the potential safety benefits of CVT when incorporated into an ADS. The research team will expand upon these preliminary results and conclusions by developing a more sophisticated simulation environment in which the safety benefits of several ADS models, with and without CVT, will be evaluated.
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Loren Stowe (VTTI/VT)*
Thomas Gorman (VTTI/VT)
Reginald Viray (VTTI)
Zac Doerzaph (VTTI/VT)
Adam Novotny (VTTI/VT)
Start Date: 2019-03-10
End Date: 2021-08-13
Status: Active
Grant Number: 69A3551747115
Total Funding: $339,249
Source Organization: Safe-D National UTC
Project Number: 04-120
Connected Vehicles
Automated Vehicles
Vehicle Technology
Risk Assessment
Infrastructure Technology
RiP URL
UTC Project Information Form
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC 20590 United States
Virginia Polytechnic Institute and State University
Virginia Tech Transportation Institute
3500 Transportation Research Plaza
Blacksburg, Virginia 24061
USA